We partner with a fast-scaling tech company operating at the crossroads of FinTech iGaming and Digital Marketing. With 20 live products spanning markets from South America to the Gulf this is a team that builds things that ship fast and globally.
Based in Dubai with a multicultural workforce of 16 nationalities the environment is high-growth internationally minded and deliberately built for people who want ownership over their work.
WHAT YOULL OWN:
Infrastructure & Pipelines - Design build and operate scalable data pipelines across cloud and on-premise environments (AWS GCP Azure) - Develop and manage data storage systems warehouses data lakes and distributed databases - Optimize data workflows for performance scalability and fault tolerance
Integration & Processing - Ingest transform and consolidate data from diverse sources: databases APIs streaming platforms flat files - Implement high-volume ETL/ELT pipelines supporting both real-time and batch processing needs - Apply rigorous data validation and transformation rules to guarantee consistency and reliability
Quality Governance & Compliance - Embed data governance practices including metadata management lineage tracking and lifecycle policies - Ensure all data handling meets security privacy and regulatory requirements - Proactively monitor and improve data quality availability and integrity
Collaboration & Continuous Improvement - Work closely with data scientists ML engineers and product teams to deliver clean reliable datasets - Enable self-service analytics across the organization - Drive improvements in pipeline automation monitoring and orchestration and share that knowledge with the team
WHAT WERE LOOKING FOR:
Degree in Computer Science Data Engineering Software Engineering or equivalent; Masters is a plus
5 years of professional experience in data engineering or backend data-intensive systems
Proven track record designing and operating scalable data pipelines on cloud or hybrid platforms
Hands-on experience with distributed processing frameworks: Apache Spark Hadoop or Flink
Strong expertise in SQL & NoSQL databases and data warehousing (Redshift BigQuery Snowflake)
Working knowledge of CI/CD practices and modern DevOps tooling
Proficient in Python SQL and Bash scripting
Deep understanding of ETL/ELT patterns data modeling and API-based data integration
Bonus: experience with streaming platforms (Kafka Kinesis) MLOps or distributed computing at scale
BENEFITS & PERKS:
Official employment in compliance with UAE labor law
Partial coverage for breakfast and lunch
Relocation package including flight tickets and 4-8 weeks of accommodation in a company apartment
Home visit benefit 4 flight tickets/year to reunite with your family
Hybrid working & flexible hours
Annual fitness budget for employees
Multinational team with members from 16 countries diverse yet supportive
Recruitment Process:
HR Interview
Technical Interview
Background Check
Offer
ABOUT COMPANY: We partner with a fast-scaling tech company operating at the crossroads of FinTech iGaming and Digital Marketing. With 20 live products spanning markets from South America to the Gulf this is a team that builds things that ship fast and globally. Based in Dubai with a multicultural ...
ABOUT COMPANY:
We partner with a fast-scaling tech company operating at the crossroads of FinTech iGaming and Digital Marketing. With 20 live products spanning markets from South America to the Gulf this is a team that builds things that ship fast and globally.
Based in Dubai with a multicultural workforce of 16 nationalities the environment is high-growth internationally minded and deliberately built for people who want ownership over their work.
WHAT YOULL OWN:
Infrastructure & Pipelines - Design build and operate scalable data pipelines across cloud and on-premise environments (AWS GCP Azure) - Develop and manage data storage systems warehouses data lakes and distributed databases - Optimize data workflows for performance scalability and fault tolerance
Integration & Processing - Ingest transform and consolidate data from diverse sources: databases APIs streaming platforms flat files - Implement high-volume ETL/ELT pipelines supporting both real-time and batch processing needs - Apply rigorous data validation and transformation rules to guarantee consistency and reliability
Quality Governance & Compliance - Embed data governance practices including metadata management lineage tracking and lifecycle policies - Ensure all data handling meets security privacy and regulatory requirements - Proactively monitor and improve data quality availability and integrity
Collaboration & Continuous Improvement - Work closely with data scientists ML engineers and product teams to deliver clean reliable datasets - Enable self-service analytics across the organization - Drive improvements in pipeline automation monitoring and orchestration and share that knowledge with the team
WHAT WERE LOOKING FOR:
Degree in Computer Science Data Engineering Software Engineering or equivalent; Masters is a plus
5 years of professional experience in data engineering or backend data-intensive systems
Proven track record designing and operating scalable data pipelines on cloud or hybrid platforms
Hands-on experience with distributed processing frameworks: Apache Spark Hadoop or Flink
Strong expertise in SQL & NoSQL databases and data warehousing (Redshift BigQuery Snowflake)
Working knowledge of CI/CD practices and modern DevOps tooling
Proficient in Python SQL and Bash scripting
Deep understanding of ETL/ELT patterns data modeling and API-based data integration
Bonus: experience with streaming platforms (Kafka Kinesis) MLOps or distributed computing at scale
BENEFITS & PERKS:
Official employment in compliance with UAE labor law
Partial coverage for breakfast and lunch
Relocation package including flight tickets and 4-8 weeks of accommodation in a company apartment
Home visit benefit 4 flight tickets/year to reunite with your family
Hybrid working & flexible hours
Annual fitness budget for employees
Multinational team with members from 16 countries diverse yet supportive